Courses

The course introduces the students into the theoretical foundations of antitrust policy (called competition policy in Europe). This will be followed by a detailed explanation of the development of antitrust policy in the United States. The most in-depth part of the course is the analysis of antitrust regulation in the...
Instructor: Ádám Török
Credits: 2.0
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Instructor: John Harbord, Thomas Rooney
Credits: 2.0
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Instructor: Laura Ipacs
Credits: 2.0
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Instructor: Laura Ipacs
Credits: 2.0
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Instructor: Papp Melinda
Credits: 2.0
The main aim of this course is to provide the students with an advanced training in econometric theory. Students successfully completing this course should be able to apply most of the modern econometric tools in empirical studies and, also, to understand and evaluate new researchresults in many important areas of...
Instructor: Laszlo Matyas
Credits: 4.0
Advanced Econometrics 2 is aimed at teaching a range of cross-sectional, panel, and time series econometric techniques useful in applied research. More specifically, most of the course will focus on recent developments in program evaluation, but the first couple of lectures will cover some advanced time series...
Instructor: Robert Lieli
Credits: 2.0
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Instructor: Andrea Weber
Credits: 4.0
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Instructor: István Kónya, Tamás Briglevics
Credits: 4.0
Course DescriptionThis course examines econometric identification issues in empirical microeconomics and public policy analysis. It supplements topics covered Advanced Econometrics with a focus on the sensible application of econometric methods to empirical problems. The course provides background on issues that arise...
Instructor: Andrea Weber
Credits: 4.0
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Instructor: Marc Kaufmann
Credits: 2.0
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Instructor: tba
Credits: 2.0
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Instructor: István Ottó Nagy
Credits: 2.0
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Instructor: tba
Credits: 2.0
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Instructor: Szabolcs Szalay
Credits: 2.0
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Instructor: Marc Kaufmann
Credits: 4.0
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Instructor: Laura Ipacs
Credits: 2.0
Type: coreTiming: Full time: Monday, Part-time: Sunday Scalable data-analytics workloads introduce new challenges: How can you scale out your data analytics systems if your data size and computational need can’t be satisfied with a single computer?In this course we will cover the basics of distributed Data Analytics...
Instructor: Zoltán Tóth
Credits: 2.0
Type: coreTiming: Full time: Monday, Part-time: Sunday Scalable data-analytics workloads introduce new challenges: How can you scale out your data analytics systems if your data size and computational need can’t be satisfied with a single computer?In this course we will cover the basics of distributed Data Analytics...
Instructor: Zoltán Tóth
Credits: 2.0
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Instructor: Tibor Voros
Credits: 2.0
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Credits: 9.0
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Instructor: Davide Torsello
Credits: 1.5
Type: core Timing: Full time, part time: weekday evening TBA
Instructor: Marc Kaufmann
Credits: 2.0
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Instructor: Ivett Kovács
Credits: 1.0
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Instructor: Joy Chan
Credits: 2.0
The course gives an overview of the economic concepts, theoretical approaches and quantitative methods used in the main areas of European competition law: restrictive agreements (§101 of the EU Treaty), abuse of dominance (§102 of the EU Treaty) and merger control. First we explore the basic concepts of effective...
Instructor: Gergely Csorba
Credits: 4.0
Corporate Finance and Risk Management (1.5 credits)Course leader: Peter SzilagyiThis course is 1.5 credits.This course introduces modern financial risk management from the perspective of non-financial corporations. You learn what risks companies should manage and why, how the various types of risk can be measured and...
Instructor: Peter Szilagyi
Credits: 2.0
We study problems related to the separation of ownership and control in modern corporations.  Corporate governance refers to the mechanisms that solve two principal-agent problems, one between the owners of capital and managers, and another between the small, dispersed owners and large, concentrated blockholders of...
Instructor: Almos Telegdy
Credits: 2.0
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Instructor: Joy Chan
Credits: 2.0
Type: core Timing: Full time: weekday, Part-time: Saturday About 80% of data science tasks are composed of managing data, from understanding and altering features of the dataset and variables, to combining various datasets. This course introduces the critical tasks of data wrangling, presentation and understanding of...
Instructor: Gergely Daróczi
Credits: 2.0
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Instructor: Gergerly Daroczi
Credits: 2.0
Type: electiveTiming: Full time: weekday About 80% of data science tasks are composed of managing data, from understanding and altering features of the dataset and variables, to combining various datasets. This course introduces the critical tasks of data wrangling, presentation and understanding of descriptive...
Instructor: Gábor Békés
Credits: 2.0
Type: coreTiming: Full time, part time: Friday afternoon Business analytics and data science are built on classic statistics. This introductory course discussesdistributions, histograms, kernel densities, summary statistics, introduces distributions like Bernoulli, binomial, normal (Gaussian), uniform along their...
Instructor: Arieda Muco
Credits: 2.0
Type: coreTiming: Full time, part time: Friday afternoon Uncovering patterns in the data can be an important goal in itself, and it is the prerequisite to establishing cause and effect and carrying out predictions. The course starts with simple regression analysis, the method that compares expected y for different...
Instructor: Gábor Békés
Credits: 1.5
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Instructor: tba
Credits: 0.5
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Instructor: tba
Credits: 0.5
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Instructor: tba
Credits: 0.5
Type: electiveTiming: Full time: weekday Data analysis in business and policy applications is often aimed at prediction. The course introduces tools to evaluate predictions, such as loss functions or the Brier score. It emphasizes the importance of out-of-sample prediction, the role of stationarity, the dangers of...
Instructor: Gábor Békés
Credits: 1.5
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Instructor: tba
Credits: 0.5
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Instructor: tba
Credits: 0.5
Type: electiveTiming: Full time: weekday Decisions in business and policy are often centered on specific interventions, such as changing monetary policy, modifying health care financing, changing the price or other attributes of products, or changing the media mix in marketing. Learning the effects of such...
Instructor: Gábor Békés
Credits: 1.5
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Instructor: tba
Credits: 0.5
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Instructor: tba
Credits: 0.5
Prerequisites: You need to be proficient with Python to take this course – read the “to satisfy the prerequisite” section belowCourse schedule: this course will take place twice a week during the second half of the term, starting on November 2, 2017.Course Level: Master and PhDOffice: 609 Nador 11Office hours: TBA or...
Instructor: Roberta Sinatra
Credits: 2.0
Type: core Timing: Full time: Monday, Part-time: Sunday In this course, you will learn what components make up a data architecture in production and which database technologies are required for different use-cases. We will cover different database technologies and see how they can be used for solving a variety of...
Instructor: Zoltán Tóth
Credits: 2.0

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